| 09:30 to 10:00 | Registration, tea and coffee | |||
| 10:00 to 10:10 | Welcome and Introduction |
Richard Samworth (University of Cambridge) Jane Leeks (Newton Gateway to Mathematics) |
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| Session 1: Latest Advances in Statistical Scalability Research (Chair: Po-Ling Loh, University of Wisconsin-Madison) | 10:10 to 10:50 | Making sense of Human Microbiome Data | Sergio Bacallado (University of Cambridge) |
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| 10:50 to 11:30 | Data Science for Networked Data | Po-Ling Loh (University of Cambridge) |
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| 11:30 to 11:50 | Tea and coffee break | |||
| Session 2: Big Data Challenges - Healthcare (Chair: Jonathan Rougier, University of Bristol) | 11:50 to 12:20 | Delivering Better Treatments to the Right Patients Faster and More Safely : Opportunities for Big Data to Improve Pharmaceutical R&D | Chris Harbron (Roche Pharmaceuticals ) |
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| 12:20 to 12:50 | Genomics Research at EBI: Challenges in Statistical Scaling | Nick Goldman (European Bioinformatics Institute, Cambridge) |
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| 12:50 to 13:00 | Questions and Discussions | |||
| 13:00 to 14:00 | Lunch and Posters | |||
| Session 3: Big Data Challenges - Energy and Environment (Chair: Adam Sykulski, Lancaster University) | 14:00 to 14:30 | Future Challenges for Scaling Big Data at the National Grid | Andrew Richards (National Grid, Electricity System Operator) |
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| 14:30 to 15:00 | Scalable Inference for Complex Environmental Data | Sofia Olhede (University College London) |
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| 15:00 to 15:10 | Questions and Discussions | |||
| 15:10 to 15:30 | Tea and Coffee Break | |||
| Session 4: Big Data Challenges - Communications (Chair: Yi Yu, University of Bristol) | 15:30 to 16:00 | Big Data Challenges in the Performance of Large IP Networks | Dave Yearling (BT Head office) |
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| 16:00 to 16:30 | Taking Big Data Upstream: Trading Storage for Approximation | GCHQ Speaker (GCHQ) | ||
| 16:30 to 16:50 | Questions, Discussion and Wrap-up | |||
| 17:00 to 18:00 | Drinks and Networking Reception |
